Sefi Bell-Kligler

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 169 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Media Technology — 19 citations into it
• Artificial Intelligence — 8 citations into it
• Generative Models — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Sefi Bell-Kligler trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jiwon Kim
2. Radu Timofte
3. Sergey Ioffe
4. Kaiming He
5. Kenji Kawaguchi
6. Geoffrey E. Hinton
7. Christian Szegedy
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Sefi Bell-Kligler overall

1. Jingyun Liang
2. Zhengxiong Luo
3. Tuomas Kynkaanniemi
4. Xiaozhong Ji
5. Honggang Chen
6. Longguang Wang
7. Yong Guo
8. Kai Zhang
9. Andreas Lugmayr
10. Yun Cao

Papers from Sefi Bell-Kligler's perspective

Ordered by how strongly the researchers Sefi Bell-Kligler trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Blind Super-Resolution Kernel Estimation using an Internal-GAN (2019) — 533 citations